Flexibility in Biopharmaceutical Manufacturing Using Particle Swarm Algorithms and Genetic Algorithms

DOI10.1007/978-3-319-44003-3_7zbMath1354.90183OpenAlexW2516684507MaRDI QIDQ2958239

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Publication date: 1 February 2017

Published in: Studies in Computational Intelligence (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-44003-3_7

zbMATH Keywords

genetic algorithmsmathematical modelingbatch plant designbiopharmaceutical manufacturingparticle swarm algorithms

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Approximation methods and heuristics in mathematical programming (90C59) Production models (90B30)

Uses Software

• GAMS

Cites Work

• An AHP-based decision-making tool for the solution of multiproduct batch plant design problem under imprecise demand
• Flowshop scheduling with identical jobs and uniform parallel machines
• Lazy learning for local modelling and control design
• Unnamed Item

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